Model Savings
Estimate the dollars saved by routing eligible Claude Code work to a cheaper model...
Install
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-savings -g -a claude-code -y- Repository
- hoangsonww/Claude-Code-Agent-Monitor1.1k
- Category
- AI and agents
- Updated
- 5d ago
- License
- MIT
- Context cost
- Lightabout 890 tokens
- Runs scripts
- No, instructions only
What it does
Estimate the dollars saved by routing eligible Claude Code work to a cheaper model family, using the Agent Monitor pricing engine. Re-prices each model's token mix at the target family's rates and quantifies the delta. Uses /api/pricing (rates), /api/pricing/cost (current per-model spend), /api/sessions, and /api/analytics. Use when hunting for cost cuts or comparing model tiers.
Model Savings
Quantify how much spend you would recover by moving eligible work to a cheaper model.
Input
The user provides: $ARGUMENTS
This is the routing question, e.g. "Opus → Sonnet", "move simple work to Haiku",
or empty (analyze every premium model against the next tier down). If no target family
is named, default to proposing the next-cheaper tier per model and say so.
Data Sources
| Endpoint | Returns |
|---|---|
GET /api/pricing | { pricing: [{ model_pattern, display_name, input_per_mtok, output_per_mtok, cache_read_per_mtok, cache_write_per_mtok }] }, the rate card for every family |
GET /api/pricing/cost | { total_cost, breakdown: [{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] }, current spend and the exact token mix per model |
GET /api/sessions?limit=200 | Sessions with model, inline cost, and metadata (turn_count, thinking_blocks), used to judge which work is eligible to downshift |
GET /api/analytics | agent_types, tool_usage, total_subagents, corroborate which task types are low-complexity and safe to route cheaper |
Savings method
For each candidate model in the cost breakdown, re-price its exact token mix at the target family's rates:
cost_at_target = (input_tokens / 1M) × target.input_per_mtok
+ (output_tokens / 1M) × target.output_per_mtok
+ (cache_read_tokens / 1M) × target.cache_read_per_mtok
+ (cache_write_tokens/ 1M) × target.cache_write_per_mtok
savings = current_model_cost − cost_at_target
Pull target.*_per_mtok from /api/pricing (longest model_pattern match wins). Default rates ($/Mtok in/out/cacheRead/cacheWrite): Opus $5/$25/$0.50/$6.25, Sonnet $3/$15/$0.30/$3.75, Haiku $1/$5/$0.10/$1.25.
